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- December 2022 (Revised February 2023)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher T. Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google...
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Keywords:
Data Mining;
Productivity;
Monitoring;
Data Analysis;
AI and Machine Learning;
Knowledge Management;
Operations;
Problems and Challenges;
Employee Relationship Management;
Information Technology Industry;
Technology Industry;
Information Industry;
Boston;
Israel
Stanton, Christopher T., and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised February 2023.)
- 2021
- Working Paper
How to Fix ESG Reporting
By: Robert S. Kaplan and Karthik Ramanna
Investors, advocacy groups, academics, and the 200 CEOs of the US Business Roundtable have asked corporations to take on an added purpose beyond a narrow pursuit of shareholder value. In response, many companies now issue ESG (Environmental, Societal, and Governance)...
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Keywords:
ESG Reporting;
Sustainability;
Corporate Purpose;
Greenhouse Gas;
Activity-Based Costing;
Environmental Sustainability;
Environmental Management;
Corporate Social Responsibility and Impact;
Measurement and Metrics;
Goals and Objectives;
Agreements and Arrangements;
Corporate Accountability
Kaplan, Robert S., and Karthik Ramanna. "How to Fix ESG Reporting." Harvard Business School Working Paper, No. 22-005, July 2021.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
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Keywords:
Autoencoder Networks;
Pattern Detection;
Subset Scanning;
Computer Vision;
Statistical Methods And Machine Learning;
Machine Learning;
Deep Learning;
Data Mining;
Big Data;
Large-scale Systems;
Mathematical Methods;
Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- February 2018
- Case
Rosslyn Resource: Monetization and Sales Strategy
By: Robert J. Dolan and Sunru Yong
Rosslyn Resource identifies exploration targets (potential mineral deposits) in the mining industry and advances them until the project can be monetized, usually through sale to a larger mining company, in return for an upfront fee and a royalty on future revenues....
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Keywords:
Strategy;
Decision Choices and Conditions;
Business Model;
Organizational Change and Adaptation;
Mining Industry
Dolan, Robert J., and Sunru Yong. "Rosslyn Resource: Monetization and Sales Strategy." Harvard Business School Brief Case 918-509, February 2018.
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Brands;
Brand & Product Management;
Big Data;
"Marketing Analytics";
Consumer Behavior;
Predictive Analytics;
Forecasting;
Preferences;
Operation Management;
Distribution Channels;
Marketing;
Marketing Channels;
Marketing Strategy;
Brands and Branding;
Forecasting and Prediction;
Data and Data Sets;
Retail Industry;
Fashion Industry;
Apparel and Accessories Industry;
United States;
North America
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Retailing;
Preference Elicitation;
Big Data;
Predictive Analytics;
Artificial Intelligence;
Fashion;
Marketing;
Marketing Strategy;
Marketing Channels;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Analytics and Data Science;
Forecasting and Prediction;
E-commerce;
Apparel and Accessories Industry;
Consumer Products Industry;
Fashion Industry;
Retail Industry;
United States;
Canada;
North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- Article
Mining Big Data to Extract Patterns and Predict Real-Life Outcomes
By: Michal Kosinki, Yilun Wang, Himabindu Lakkaraju and Jure Leskovec
Kosinki, Michal, Yilun Wang, Himabindu Lakkaraju, and Jure Leskovec. "Mining Big Data to Extract Patterns and Predict Real-Life Outcomes." Psychological Methods 21, no. 4 (December 2016): 493–506.
- 2015
- Article
Scalable Detection of Anomalous Patterns With Connectivity Constraints
By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and...
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Speakman, Skyler, Edward McFowland III, and Daniel B. Neill. "Scalable Detection of Anomalous Patterns With Connectivity Constraints." Journal of Computational and Graphical Statistics 24, no. 4 (2015): 1014–1033.
- Article
Doing Business with Strangers: Reputation in Online Service Marketplaces
By: Antonio Moreno and Christian Terwiesch
Online service marketplaces allow service buyers to post their project requests and service providers to bid for them. To reduce the transactional risks, marketplaces typically track and publish previous seller performance. By analyzing a detailed transactional data...
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Moreno, Antonio, and Christian Terwiesch. "Doing Business with Strangers: Reputation in Online Service Marketplaces." Information Systems Research 25, no. 4 (December 2014): 865–886.
- June 2014 (Revised July 2014)
- Background Note
An Overview of Project Finance and Infrastructure Finance—2014 Update
By: Benjamin C. Esty, Carla Chavich and Aldo Sesia
Provides an introduction to the fields of project finance and infrastructure finance, and gives a statistical overview of project-financed investments over the years from 2009 to 2013. Examples of project-financed investments include the Kashagan oil field development...
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Keywords:
Globalization;
Capital Expenditures;
International Finance;
Data;
Financial History;
Economic Development;
Corporate Governance;
Contracts;
Industry Analysis;
Banking;
Capital Investments;
Municipal Finance;
Project Finance;
Infrastructure;
Investment;
Projects;
Trends
Esty, Benjamin C., Carla Chavich, and Aldo Sesia. "An Overview of Project Finance and Infrastructure Finance—2014 Update." Harvard Business School Background Note 214-083, June 2014. (Revised July 2014.)
- Spring 2014
- Article
Leveraging Crowdsourced Peer-to-Peer Assessments to Enhance the Case Method of Learning
By: Jill Avery
Many marketing educators use the case method to help their students strengthen their decision-making skills. Rigorous class participation is essential to achieving learning objectives in case method learning. One challenge for case method instructors is the assessment...
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Avery, Jill. "Leveraging Crowdsourced Peer-to-Peer Assessments to Enhance the Case Method of Learning." Journal for Advancement of Marketing Education 22, no. 1 (Spring 2014): 1–15.
- 2011
- Article
Scalable Detection of Anomalous Patterns With Connectivity Constraints
By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and...
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- 2010
- Book
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance
By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain...
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Keywords:
Profit;
Knowledge Use and Leverage;
Logistics;
Supply Chain Management;
Mathematical Methods;
Retail Industry
Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
- August 2008 (Revised June 2012)
- Case
Martingale Asset Management LP in 2008, 130/30 Funds, and a Low-Volatility Strategy
By: Luis M. Viceira and Helen Tung
In early July of 2008, William (Bill) Jacques, Chief Investment Officer at Martingale Asset Management, a quantitative value-oriented investment manager in Boston, Massachusetts, was busy preparing for an upcoming meeting with the group that made new product decisions...
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Keywords:
Volatility;
Asset Management;
Stocks;
Financial Strategy;
Investment Funds;
Product Development
Viceira, Luis M., and Helen Tung. "Martingale Asset Management LP in 2008, 130/30 Funds, and a Low-Volatility Strategy." Harvard Business School Case 209-047, August 2008. (Revised June 2012.)
- December 1999 (Revised January 2002)
- Background Note
Overview of the Project Finance Market, An
By: Benjamin C. Esty, Suzanne I. Harris and Kathleen G. Krueger
This case introduces the field of project finance and supplies a statistical overview of the project finance market as of the mid=to late 1990s. It consists of four sections. The first section defines project finance and contrasts it with other well-known forms of...
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Esty, Benjamin C., Suzanne I. Harris, and Kathleen G. Krueger. "Overview of the Project Finance Market, An." Harvard Business School Background Note 200-028, December 1999. (Revised January 2002.)